Data capacity visualization method and system and computer readable storage medium

Abstract

The invention discloses a data capacity visualization method and system and a computer readable storage medium, a data center is a data storage center, and an index divider performs field division on indexes according to different belongings of the indexes; the correlation calculation device calculates a correlation coefficient between every two indexes in a maximum information coefficient mode while completing index preparation; the portrait feature configurator calculates corresponding risk indexes for the indexes in all statistical ranges according to a risk assessment method, calculates risk indexes of corresponding fields and systems according to the risk indexes of the indexes, and further provides a data basis for capacity portraits; and after correlation calculation among all or specified important indexes is completed, the correlation degree among the indexes in the field under one system can be displayed in an image mode. According to the data capacity visualization method, on the basis of indexes of a data center, correlation calculation is carried out after division according to fields, and then a capacity portrait based on a relational graph is obtained after portrait feature configuration is completed.

Description

technical field [0001] The invention relates to a data capacity processing method, in particular to a data capacity visualization method, system and computer-readable storage medium. Background technique [0002] With the rapid development of banking and financial services on the Internet, business systems that meet various needs of different customers are constantly emerging and iterating. The sharp increase in business volume and types inevitably makes it more difficult for multiple systems to be managed by banks as a whole. In order to meet the bank's overall management of the management system, a large number of different types of indicators need to be collected and stored, related relationship mining, predictive analysis, alarm prevention and other behaviors. [0003] Capacity management, as it arises, is meant to focus on providing the required capacity for data processing and storage at the right time and in an economical way. However, as a system, the existing tech...

AI Technical Summary

Problems solved by technology

[0009] The defect of the existing technology is that the process of data mining is dominated by humans, and analysts are required to screen and analyze sensitive indicator data in their respective system domains. All correlation analysis between specific indicators is limited to a specific domain, and the demand target is uncertain. , it is not clear what can be achieved

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